Design and run advanced statistical and machine learning analyses on large healthcare datasets to evaluate programs, inform policy, and produce visualizations and reports. Collaborate with clinical, policy, and IT teams, ensure data quality and privacy compliance, mentor junior analysts, and translate findings into actionable recommendations to improve care delivery.
We are seeking a Senior Analyst, Research & Data Scientist to join our team at Independent Living Systems (ILS). ILS, along with its affiliated health plans known as Florida Community Care and Florida Complete Care, is committed to promoting a higher quality of life and maximizing independence for all vulnerable populations.
About the Role:
The Senior Analyst, Research & Data Scientist plays a critical role in advancing healthcare outcomes by leveraging data-driven insights and rigorous research methodologies. This position is responsible for designing, conducting, and interpreting complex analyses that inform strategic decisions and policy development within the health care and social assistance sector. The role requires synthesizing large datasets from diverse sources to identify trends, evaluate program effectiveness, and support evidence-based interventions. Collaboration with cross-functional teams, including clinical experts, policy makers, and IT professionals, is essential to translate analytical findings into actionable recommendations. Ultimately, this position drives innovation and continuous improvement in healthcare delivery through sophisticated data science techniques and research excellence.
Minimum Qualifications:
- Bachelor’s degree in Data Science, Statistics, Public Health, Epidemiology, Computer Science, or a related field.
- At least 5 years of professional experience in data analysis, research, or data science within the healthcare or social assistance industry.
- Proficiency in statistical programming languages such as R, Python, or SAS.
- Strong experience with data visualization tools like Tableau, Power BI, or equivalent.
- Demonstrated ability to manage and analyze large healthcare datasets and apply advanced analytical techniques.
- Strong experience with SQL and working with relational databases.
- Demonstrated ability to develop and apply statistical and machine learning models.
- Relevant experience may substitute for the educational requirement on a year-for-year basis.
Preferred Qualifications:
- Master’s degree or higher in a relevant discipline such as Biostatistics, Health Informatics, or Data Science.
- Experience with machine learning frameworks and big data technologies (e.g., TensorFlow, Spark).
- Familiarity with healthcare regulations and standards including HIPAA and data governance best practices.
- Prior experience working in interdisciplinary teams within healthcare settings.
- Publication record or contributions to peer-reviewed research in healthcare analytics or related fields.
Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms to analyze healthcare data and generate predictive insights.
- Design and conduct quantitative and qualitative research studies to evaluate health programs, policies, and interventions.
- Collaborate with stakeholders to define research questions, data requirements, and project objectives aligned with organizational goals.
- Prepare comprehensive reports, visualizations, and presentations to communicate findings clearly to both technical and non-technical audiences.
- Ensure data quality, integrity, and compliance with privacy regulations while managing large and complex datasets.
- Stay current with emerging trends and best practices in data science, healthcare analytics, and research methodologies.
- Mentor junior analysts and contribute to the development of data science capabilities within the team.
Independent Living Systems, LLC New York, New York, USA Office
810 7th Ave, New York, New York, United States, 10019 5818
Similar Jobs
20 Minutes Ago
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Design, analyze and validate electronic and electrical mission systems for aircraft. Develop requirements, system architectures, hardware/software interfaces, perform testing and integration, support fielded systems across lifecycle, use simulation/MBSE tools, collaborate with suppliers and software teams, and participate in flight test and OFP development.
Top Skills:
JIRAMbseOperational Flight Program (Ofp)Requirements Management ToolsSimulation And Modeling
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Manage and develop quality teams to sustain QMS compliance (AS9100/FAA), lead audits and CAPA closure, manage nonconforming material, support configuration and tooling control, drive process improvements, monitor quality metrics, and partner with operations, supply chain, and engineering.
Top Skills:
As9100Configuration ManagementFaaLeanQmsQuality Data SystemsQuality Reporting ToolsSix SigmaTooling Control Systems
Big Data • Information Technology • Software • Analytics • Energy
Perform comprehensive title searches for energy and utility projects, identify and resolve title defects, prepare and review title commitments and conveyance documents, plot legal descriptions, and support scalable title processes. Advise energy teams on mineral/royalty, leasehold, easements, and underwriting/curative matters while collaborating cross-functionally to remove blockers and ensure clear property titles for projects.
Top Skills:
Integrity Title PlantRamquest
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
